bb: Boosting-based pruning of models
In autoBagging: Learning to Rank Bagging Workflows with Metalearning
Description
Boosting-based pruning of models
Usage
1
Arguments
form
formula
preds
predictions in training data
data
training data
cutPoint
ratio of the total number of models to cut off
autoBagging documentation built on May 2, 2019, 7:30 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Boosting-based pruning of models
Usage
1 |
Arguments
form |
formula |
preds |
predictions in training data |
data |
training data |
cutPoint |
ratio of the total number of models to cut off |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.